Share Email Print
cover

Proceedings Paper

Excellent approach to modeling urban expansion by fuzzy cellular automata: agent-base model
Author(s): Yousef Khajavigodellou; Ali A. Alesheikh; Abdulrazak A. S. Mohammed; Kamran Chapi
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Recently, the interaction between humans and their environment is the one of important challenges in the world. Landuse/ cover change (LUCC) is a complex process that includes actors and factors at different social and spatial levels. The complexity and dynamics of urban systems make the applicable practice of urban modeling very difficult. With the increased computational power and the greater availability of spatial data, micro-simulation such as the agent based and cellular automata simulation methods, has been developed by geographers, planners, and scholars, and it has shown great potential for representing and simulating the complexity of the dynamic processes involved in urban growth and land use change. This paper presents Fuzzy Cellular Automata in Geospatial Information System and remote Sensing to simulated and predicted urban expansion pattern. These FCA-based dynamic spatial urban models provide an improved ability to forecast and assess future urban growth and to create planning scenarios, allowing us to explore the potential impacts of simulations that correspond to urban planning and management policies. A fuzzy inference guided cellular automata approach. Semantic or linguistic knowledge on Land use change is expressed as fuzzy rules, based on which fuzzy inference is applied to determine the urban development potential for each pixel. The model integrates an ABM (agent-based model) and FCA (Fuzzy Cellular Automata) to investigate a complex decision-making process and future urban dynamic processes. Based on this model rapid development and green land protection under the influences of the behaviors and decision modes of regional authority agents, real estate developer agents, resident agents and non- resident agents and their interactions have been applied to predict the future development patterns of the Erbil metropolitan region.

Paper Details

Date Published: 12 September 2014
PDF: 8 pages
Proc. SPIE 9219, Infrared Remote Sensing and Instrumentation XXII, 921909 (12 September 2014); doi: 10.1117/12.2063097
Show Author Affiliations
Yousef Khajavigodellou, Salahaddin Univ. (Iraq)
Ali A. Alesheikh, K.N. Toosi Univ. of Technology (Iran, Islamic Republic of)
Abdulrazak A. S. Mohammed, Salahaddin Univ. (Iraq)
Kamran Chapi, Kurdistan Univ. (Iran, Islamic Republic of)


Published in SPIE Proceedings Vol. 9219:
Infrared Remote Sensing and Instrumentation XXII
Marija Strojnik Scholl; Gonzalo Páez, Editor(s)

© SPIE. Terms of Use
Back to Top